IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v174y2022ics004016252100737x.html
   My bibliography  Save this article

Operationalizing the telemedicine platforms through the social network knowledge: An MCDM model based on the CIPFOHW operator

Author

Listed:
  • Zhang, Mengdan
  • Zhang, Chonghui
  • Shi, Qiule
  • Zeng, Shouzhen
  • Balezentis, Tomas

Abstract

Telemedicine is an effective way to address the excessive concentration of quality medical resources. Telemedicine platforms provide users with diversified high-quality medical and health services. These issues are topical in the context of the recent pandemic and the resulting socioeconomic transformations. In order to meet the multilevel and personalised health needs of users, optimise the management process of a telemedicine platform and rationally allocate medical resources, it is necessary to conduct scientific evaluations of telemedicine platforms. Therefore, this paper proposes a multi-criteria evaluation framework based on the interval value confidence induced Pythagorean fuzzy ordered hybrid weighted integration (CIPFOHW) operator and social network. To improve the fusion efficiency of user evaluation information and confidence level, the CIPFOHW operator is proposed. At the same time, since the trust relationship between users of the telemedicine platform influence the evaluation, the trust transfer network between users is given. In addition, based on SERVQUAL method, a five-dimension evaluation framework for telemedicine platforms is put forward. Finally, an applied case with five typical patients is used to verify the effectiveness of the method.

Suggested Citation

  • Zhang, Mengdan & Zhang, Chonghui & Shi, Qiule & Zeng, Shouzhen & Balezentis, Tomas, 2022. "Operationalizing the telemedicine platforms through the social network knowledge: An MCDM model based on the CIPFOHW operator," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s004016252100737x
    DOI: 10.1016/j.techfore.2021.121303
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016252100737X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.121303?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. K. Rahman & A. Ali & S. Abdullah & F. Amin, 2018. "Approaches to Multi-Attribute Group Decision Making Based on Induced Interval-Valued Pythagorean Fuzzy Einstein Aggregation Operator," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 343-361, November.
    2. Beckert, Walter, 2018. "Choice in the presence of experts: The role of general practitioners in patients’ hospital choice," Journal of Health Economics, Elsevier, vol. 60(C), pages 98-117.
    3. Lu, Wei & Hou, Hongli & Ma, Rui & Chen, Haotian & Zhang, Ran & Cui, Fangfang & Zhang, Qian & Gao, Yacong & Wang, Xinpu & Bu, Caihong & Zhao, Jie & Zhai, Yunkai, 2021. "Influencing factors of patient satisfaction in teleconsultation: A cross-sectional study," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    4. Shouzhen Zeng & Jianping Chen & Xingsen Li, 2016. "A Hybrid Method for Pythagorean Fuzzy Multiple-Criteria Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 403-422, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Frishammar, Johan & Essén, Anna & Bergström, Frida & Ekman, Tilda, 2023. "Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Zeng, Shouzhen & Zhou, Jiamin & Zhang, Chonghui & Merigó, José M., 2022. "Intuitionistic fuzzy social network hybrid MCDM model for an assessment of digital reforms of manufacturing industry in China," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    4. Pal, Shounak & Biswas, Baidyanath & Gupta, Rohit & Kumar, Ajay & Gupta, Shivam, 2023. "Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach," Journal of Business Research, Elsevier, vol. 156(C).
    5. Wu, Qun & Liu, Xinwang & Qin, Jindong & Zhou, Ligang & Mardani, Abbas & Deveci, Muhammet, 2022. "An integrated multi-criteria decision-making and multi-objective optimization model for socially responsible portfolio selection," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Hsu, Wan-Chi Jackie & Lo, Huai-Wei & Lin, Sheng-Wei & Zheng, Yu-Tong, 2024. "Interaction measurement of success factors in the telemedicine development: Using a grey heterogeneous influence and strength attenuation technique," Technology in Society, Elsevier, vol. 77(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yucesan, Melih & Kahraman, Gökhan, 2019. "Risk evaluation and prevention in hydropower plant operations: A model based on Pythagorean fuzzy AHP," Energy Policy, Elsevier, vol. 126(C), pages 343-351.
    2. Susan J. Méndez & Jongsay Yong & Hugh Gravelle & Anthony Scott, 2024. "Medical pricing decisions: Evidence from Australian specialists," Melbourne Institute Working Paper Series wp2024n11, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. Ping Wang & Jie Wang & Guiwu Wei & Cun Wei, 2019. "Similarity Measures of q-Rung Orthopair Fuzzy Sets Based on Cosine Function and Their Applications," Mathematics, MDPI, vol. 7(4), pages 1-23, April.
    4. Devesh Raval & Ted Rosenbaum & Nathan E. Wilson, 2022. "Using disaster‐induced closures to evaluate discrete choice models of hospital demand," RAND Journal of Economics, RAND Corporation, vol. 53(3), pages 561-589, September.
    5. Walter Beckert & Elaine Kelly, 2021. "Divided by choice? For‐profit providers, patient choice and mechanisms of patient sorting in the English National Health Service," Health Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 820-839, April.
    6. Charlotte Davies, 2020. "The supply side to procurement in a health market: competition and innovation in hip implants," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2020-01, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    7. Davies, Charlotte & Davies, Stephen, 2021. "Assessing competition in the hip implant industry in the light of recent policy guidance," Social Science & Medicine, Elsevier, vol. 287(C).
    8. Runtong Zhang & Jun Wang & Xiaomin Zhu & Meimei Xia & Ming Yu, 2017. "Some Generalized Pythagorean Fuzzy Bonferroni Mean Aggregation Operators with Their Application to Multiattribute Group Decision-Making," Complexity, Hindawi, vol. 2017, pages 1-16, August.
    9. Shouzhen Zeng & Dandan Luo & Chonghui Zhang & Xingsen Li, 2020. "A Correlation-Based TOPSIS Method for Multiple Attribute Decision Making with Single-Valued Neutrosophic Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 343-358, February.
    10. Hui Gao & Linggang Ran & Guiwu Wei & Cun Wei & Jiang Wu, 2020. "VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products," IJERPH, MDPI, vol. 17(2), pages 1-14, January.
    11. Zhengnan Lu & Yuting Zhang & Lan Xu, 2022. "Quality control decision of government procurement of elderly care service based on multi‐index fusion of Pythagoras TOPSIS: Perspective of complex network," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1773-1791, September.
    12. Jun Liu & Xianbin Wu & Shouzhen Zeng & Tiejun Pan, 2017. "Intuitionistic Linguistic Multiple Attribute Decision-Making with Induced Aggregation Operator and Its Application to Low Carbon Supplier Selection," IJERPH, MDPI, vol. 14(12), pages 1-12, November.
    13. Luciano Barcellos-Paula & Anna María Gil-Lafuente & Aline Castro-Rezende, 2023. "Algorithm Applied to SDG13: A Case Study of Ibero-American Countries," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    14. Zengxian Li & Guiwu Wei & Hui Gao, 2018. "Methods for Multiple Attribute Decision Making with Interval-Valued Pythagorean Fuzzy Information," Mathematics, MDPI, vol. 6(11), pages 1-27, October.
    15. Meiling Liu & Shouzhen Zeng & Tomas Baležentis & Dalia Streimikiene, 2019. "Picture Fuzzy Weighted Distance Measures and their Application to Investment Selection," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(52), pages 682-682, August.
    16. Jie Wang & Guiwu Wei & Hui Gao, 2018. "Approaches to Multiple Attribute Decision Making with Interval-Valued 2-Tuple Linguistic Pythagorean Fuzzy Information," Mathematics, MDPI, vol. 6(10), pages 1-45, October.
    17. Fabio Blanco-Mesa & Ernesto León-Castro & Jorge Romero-Muñoz, 2021. "Pythagorean Membership Grade Aggregation Operators: Application in Financial knowledge," Mathematics, MDPI, vol. 9(17), pages 1-15, September.
    18. Wei Lu & Yunkai Zhai, 2022. "Self-Adaptive Telemedicine Specialist Recommendation Considering Specialist Activity and Patient Feedback," IJERPH, MDPI, vol. 19(9), pages 1-22, May.
    19. Mustafa Kemal Yilmaz & Ali Osman Kusakci & Ekrem Tatoglu & Orkun Icten & Feyzullah Yetgin, 2019. "Performance Evaluation of Real Estate Investment Trusts using a Hybridized Interval Type-2 Fuzzy AHP-DEA Approach: The Case of Borsa Istanbul," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1785-1820, November.
    20. Chauhan, Ankur & Jakhar, Suresh Kumar & Jabbour, Charbel Jose Chiappetta, 2022. "Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s004016252100737x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.